Bayesian network approach to cell signaling pathway modeling - PubMed (original) (raw)
Comparative Study
. 2002 Sep 3;2002(148):pe38.
doi: 10.1126/stke.2002.148.pe38.
Affiliations
- PMID: 12209052
- DOI: 10.1126/stke.2002.148.pe38
Comparative Study
Bayesian network approach to cell signaling pathway modeling
Karen Sachs et al. Sci STKE. 2002.
Abstract
The modeling of cellular signaling pathways is an emerging field. Sachs et al. illustrate the application of Bayesian networks to an example cellular pathway involving the activation of focal adhesion kinase (FAK) and extracellular signal-regulated kinase (ERK) in response to fibronectin binding to an integrin. They describe how to use the analysis to select from among proposed models, formulate hypotheses regarding component interactions, and uncover potential dynamic changes in the interactions between these components. Although the data sets currently available for this example problem are too small to definitively point to a particular model, the approach and results provide a glimpse into the power that these methods will achieve once the technology for obtaining the necessary data becomes readily available.
Comment in
- Computational biology.
Ray LB, Chong LD, Gough NR. Ray LB, et al. Sci STKE. 2002 Sep 3;2002(148):eg10. doi: 10.1126/stke.2002.148.eg10. Sci STKE. 2002. PMID: 12209051 No abstract available.
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